/**
 * Copyright (c) 2025 Huawei Technologies Co., Ltd.
 * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
 * CANN Open Software License Agreement Version 2.0 (the "License").
 * Please refer to the License for details. You may not use this file except in compliance with the License.
 * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
 * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
 * See LICENSE in the root of the software repository for the full text of the License.
 */

#include <cmath>
#include <vector>

#include <mki/utils/rt/rt.h>
#include "utils/assert.h"
#include "log/log.h"
#include "ops.h"
#include "utils/aspb_status.h"
#include "fftcore/fft_core_common_func.h"
#include "dd.h"

#include "fftcore/dd_core.h"

using namespace AsdSip;

size_t DdCore::EstimateWorkspaceSize()
{
    const KernelInfo &kernelInfo = kernel->GetKernelInfo();
    return getAlignedSize(kernelInfo.GetTotalScratchSize());
}

void DdCore::Run(Tensor &input, Tensor &output, void *stream, workspace::Workspace &workspace)
{
    const KernelInfo &kernelInfo = kernel->GetKernelInfo();
    // set workspace
    size_t bufferSize = kernelInfo.GetTotalScratchSize();
    runInfo.SetScratchDeviceAddr((uint8_t *)workspace.allocate(bufferSize));

    runInfo.SetStream(stream);
    launchParam.GetInTensor(0).data = input.data;
    launchParam.GetOutTensor(0).data = output.data;
    output.desc = input.desc;
    kernel->Run(launchParam, runInfo);

    workspace.recycleLast();

    ASDSIP_LOG(INFO) << "DdCore run success.";
    return;
}

AspbStatus DdCore::InitTactic()
{
    OpParam::Dd param = {problemDesc.batchSize, problemDesc.fftX, problemDesc.fftY};
    ASDSIP_LOG(DEBUG) << "OpDesc info: " << param.ToString();

    Tensor tensorIn;
    Tensor tensorOut;
    tensorIn.desc = {
        TENSOR_DTYPE_COMPLEX64, TENSOR_FORMAT_ND, {problemDesc.batchSize, problemDesc.fftX, problemDesc.fftY}, {}, 0};
    tensorIn.dataSize = problemDesc.batchSize * problemDesc.fftX * problemDesc.fftY * K_SIZE_OF_COMPLEX64;

    launchParam.SetParam(param);
    launchParam.AddInTensor(tensorIn);
    launchParam.AddInTensor(*pMatrix);
    launchParam.AddInTensor(*qMatrix);
    launchParam.AddOutTensor(tensorOut);

    Operation *op = Ops::Instance().GetOperationByName(std::string("DdOperation"));
    if (op == nullptr) {
        return AsdSip::ErrorType::ACL_ERROR_INTERNAL_ERROR;
    }
    op->InferShape(launchParam);
    kernel = std::unique_ptr<Kernel>(op->GetBestKernel(launchParam));
    ASDSIP_ECHECK(kernel != nullptr, "Get best kernel failed", AsdSip::ErrorType::ACL_ERROR_INTERNAL_ERROR);

    // allocate and initialize tiling workspace
    uint8_t *deviceLaunchBuffer = nullptr;
    kernel->SetLaunchWithTiling(false);
    uint32_t launchBufferSize = kernel->GetTilingSize(launchParam);
    ASDSIP_ECHECK(launchBufferSize != 0, "empty tiling size", AsdSip::ErrorType::ACL_ERROR_INTERNAL_ERROR);

    uint8_t hostLaunchBuffer[launchBufferSize];
    kernel->SetTilingHostAddr(hostLaunchBuffer, launchBufferSize);
    kernel->Init(launchParam);

    void* tempDevicePtr = nullptr;
    int st = MkiRtMemMallocDevice(&tempDevicePtr, launchBufferSize, MKIRT_MEM_DEFAULT);
    ASDSIP_ECHECK(st == MKIRT_SUCCESS, "malloc device memory fail", AsdSip::ErrorType::ACL_ERROR_INTERNAL_ERROR);

    deviceLaunchBuffer = static_cast<uint8_t *>(tempDevicePtr);
    st = MkiRtMemCopy(deviceLaunchBuffer, launchBufferSize, hostLaunchBuffer, launchBufferSize,
                      MKIRT_MEMCOPY_HOST_TO_DEVICE);
    if (st != MKIRT_SUCCESS) {
        MkiRtMemFreeDevice(deviceLaunchBuffer);
        deviceLaunchBuffer = nullptr;
        ASDSIP_ELOG(AsdSip::ErrorType::ACL_ERROR_INTERNAL_ERROR) << "copy host memory to device fail";
        return AsdSip::ErrorType::ACL_ERROR_INTERNAL_ERROR;
    }
    runInfo.SetTilingDeviceAddr(deviceLaunchBuffer);

    ASDSIP_LOG(INFO) << "DdCore init tactic success.";
    return AsdSip::ErrorType::ACL_SUCCESS;
}

AspbStatus DdCore::InitPMatrix()
{
    AspbStatus status = InitPQMatrix(coreType, problemDesc.fftX, problemDesc.forward, true, pMatrix);
    return status;
}

AspbStatus DdCore::InitQMatrix()
{
    AspbStatus status = InitPQMatrix(coreType, problemDesc.fftY, problemDesc.forward, false, qMatrix);
    return status;
}

bool DdCore::PreAllocateInDevice()
{
    if (InitPMatrix() != AsdSip::ErrorType::ACL_SUCCESS) {
        return false;
    }

    if (InitQMatrix() != AsdSip::ErrorType::ACL_SUCCESS) {
        return false;
    }

    if (InitTactic() != AsdSip::ErrorType::ACL_SUCCESS) {
        return false;
    }

    ASDSIP_LOG(INFO) << "DdCore PreAllocateInDevice success.";
    return true;
}

void DdCore::DestroyInDevice() const
{
    uint8_t *deviceBuffer = runInfo.GetTilingDeviceAddr();
    if (deviceBuffer != nullptr) {
        MkiRtMemFreeDevice(deviceBuffer);
    }
}
